Success Case | AI Agent for Supporting Refinery Workers on Safety Protocols
Global energy and chemical company committed to mobility and sustainability that develops its business on 5 continents, with a yearly turnover of 33 billion euros.
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The Challenge
A major European energy company needed to improve access to its vast database of safety protocols within its refineries. The challenge was to create a system that would streamline and optimize access to crucial safety information, ensuring employees could quickly retrieve the correct protocols needed to maintain compliance with strict safety regulations. Given the complexity and volume of the documents, traditional search methods were inefficient, risking delays in critical safety procedures.
The Solution
An AI Agent that uses Retrieval-Augmented Generation (RAG) was implemented, allowing employees to make specific inquiries about safety protocols. This agent utilizes generative AI to understand workers’ queries and provide fast, contextualized answers by accessing and analyzing the extensive documentation available. The AI agent is specialized in safety protocols and can deliver accurate and relevant information quickly, improving operational safety and efficiency.
Business Impact
- Increased efficiency in accessing and reviewing safety protocols.
- Improved training for new employees with easy access to critical safety information.
- Ensured faster access to essential data, reinforcing commitment to safety standards and compliance.
- Strengthened overall adherence to safety protocols across operations.
Keepler is a full-stack analytics services company specialized in the design, construction, deployment and operation of advanced public cloud analytics custom-made solutions. We bring to the market the Data Product concept, which is a fully automated, public cloud services-based, tailored software that adds advanced analytics, data engineering, massive data processing, and monitoring features. In addition, we help our customers transition to using public cloud services securely and improve data governance to make the organization more data-centric.
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